Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).
Methods: CT images of a 16 cm dosimetry phantom, a head phantom, and the brains of 11 patients were reconstructed using filtered backprojection (FBP) and various levels of DLR and HIR. The slice thickness was 5, 2.
Tropospheric ozone formation depends on the emissions of volatile organic compounds (VOC) and nitrogen oxides (NO). In megacities, abundant VOC and NO sources cause relentlessly high ozone episodes, affecting a large share of the global population. This study uses data from the Ozone Monitoring Instrument for formaldehyde (HCHO) and nitrogen dioxide (NO) as proxy data for VOC and NO emissions, respectively, with their ratio serving as an indicator of ozone sensitivity.
View Article and Find Full Text PDFBackground: Infection is a rare complication of percutaneous renal biopsy (RB). However, the questionnaire included in the Kidney Biopsy Guidebook 2020 in Japan revealed that antibiotic prophylaxis (AP) was administered at about 60% of hospitals. The objective of this study was to evaluate whether it is possible to omit AP for RB.
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